# Gitea Tools A collection of Python scripts and an MCP server to automate interactions with Gitea instances. ## Supported Instances | Remote | Host | Org / Repo | |----------------|----------------------------|-------------------------------------| | `dadeschools` | `gitea.dadeschools.net` | `Contractor / Timesheet` | | `prgs` | `gitea.prgs.cc` | `Scaled-Tech-Consulting / Timesheet`| ## Authentication Authentication is configured via environment variables or a local `.env` file in the repository root (uses `python-dotenv`). Create a `.env` file in the project root: ```bash # Option A: Gitea Personal Access Tokens (Recommended) GITEA_TOKEN_DADESCHOOLS="your_token_here" GITEA_TOKEN_PRGS="your_token_here" # Option B: Gitea Username & Password (fallback) GITEA_USER_DADESCHOOLS="username" GITEA_PASS_DADESCHOOLS="password" GITEA_USER_PRGS="username" GITEA_PASS_PRGS="password" # Optional: Fallback to macOS Keychain (via git credential fill) # GITEA_USE_KEYCHAIN=1 ``` ## MCP Server (Recommended) The Gitea-Tools MCP server exposes all functionality as structured tool calls. Any MCP-compatible agent (Antigravity, Claude Code, etc.) can call these tools natively. ### Available Tools | Tool | Description | |------|-------------| | `gitea_create_issue` | Create an issue with title, body, remote | | `gitea_create_pr` | Open a pull request with title, head, base | | `gitea_close_issue` | Close an issue by number | | `gitea_list_issues` | List issues with state/label filters | | `gitea_view_issue` | Get full details of a single issue | | `gitea_mark_issue` | Claim/release an issue (start/done) | | `gitea_mirror_refs` | Mirror branches + tags between instances | ### Setup #### 1. Install dependencies ```bash cd /Users/jasonwalker/Development/Gitea-Tools python3 -m venv venv # skip if venv already exists source venv/bin/activate pip install "mcp[cli]" ``` #### 2. Configure your AI client The MCP server uses **stdio transport** — each client starts it as a subprocess. Add the config below to your client, then restart it.
Antigravity (Google) Add to `~/.gemini/antigravity-ide/mcp_config.json` inside `"mcpServers"`: ```json "gitea-tools": { "command": "/Users/jasonwalker/Development/Gitea-Tools/venv/bin/python3", "args": ["/Users/jasonwalker/Development/Gitea-Tools/mcp_server.py"], "env": {} } ``` Restart Antigravity to load the server. Tools appear as lazy-loaded MCP tools (call via `call_mcp_tool` with `ServerName: "gitea-tools"`).
Claude Code (Anthropic) Add to `~/.claude.json` (global) or `.mcp.json` in the project root: ```json { "mcpServers": { "gitea-tools": { "command": "/Users/jasonwalker/Development/Gitea-Tools/venv/bin/python3", "args": ["/Users/jasonwalker/Development/Gitea-Tools/mcp_server.py"] } } } ``` Restart Claude Code. Tools appear as `mcp__gitea-tools__gitea_create_issue`, etc.
Any MCP-compatible client The server is a standard MCP stdio server. Point your client at: - **Command:** `/Users/jasonwalker/Development/Gitea-Tools/venv/bin/python3` - **Args:** `["/Users/jasonwalker/Development/Gitea-Tools/mcp_server.py"]` - **Transport:** `stdio` No environment variables needed — auth is handled via macOS keychain.
Codex / non-MCP tools OpenAI Codex and other tools that don't support MCP can use the CLI scripts directly. See the [CLI Scripts](#cli-scripts) section below. ```bash # Example: Codex can shell out to the scripts python3 /Users/jasonwalker/Development/Gitea-Tools/create_issue.py \ --remote prgs --title "Bug report" --body "Details here" ```
## CLI Scripts The MCP tools can also be used as standalone CLI scripts: | Script | Description | |---------------------|--------------------------------------------------------------------| | `create_issue.py` | Create an issue (`--remote`, `--title`, `--body`, `--body-file`) | | `create_pr.py` | Open a Pull Request (`--remote`, `--title`, `--head`, `--base`) | | `close_issue.py` | Close a specific issue | | `mark_issue.py` | Claim/release an issue via `status:in-progress` label | | `manage_labels.py` | Create label set and apply label mappings (`--dry` to preview) | | `mirror_refs.sh` | Mirror branches + tags between dadeschools ⇄ prgs | ### Quick Examples ```bash # Create an issue ./create_issue.py --title "Fix PDF output" --body "Blank on Safari" # Create an issue on the prgs instance ./create_issue.py --remote prgs --title "Add tests" --body-file description.md # Create a PR ./create_pr.py --title "feat: add validation" --head feat/validation --body "Closes #12" # Close issue #5 ./close_issue.py 5 # Claim an issue before working on it ./mark_issue.py 10 start # Release when done ./mark_issue.py 10 done # Mirror refs (dry-run by default) ./mirror_refs.sh # Actually push the refs ./mirror_refs.sh --apply ``` Use `--help` on any Python script or shell script for full usage details. ## Architecture ``` gitea_auth.py ← shared auth & API helpers (get_credentials, api_request) mcp_server.py ← MCP server (FastMCP, stdio transport) create_issue.py ← CLI: create issues create_pr.py ← CLI: create PRs manage_labels.py ← CLI: label management close_issue.py ← CLI: close issues mark_issue.py ← CLI: claim/release issues mirror_refs.sh ← CLI: ref mirroring ``` ## Tests ```bash # Run with the venv (includes MCP SDK) source venv/bin/activate python3 -m pytest tests/ -v ``` | Test file | Covers | |--------------------------|---------------------------------------------------------| | `test_mcp_server.py` | All 7 MCP tools: create, list, view, close, mark, PR, mirror | | `test_create_issue.py` | CLI arg parsing, remote resolution, payload, auth, errors | | `test_create_pr.py` | CLI arg parsing, remote resolution, payload, auth, errors | | `test_credentials.py` | `get_credentials()`, `get_auth_header()`, `repo_api_url()` | | `test_manage_labels.py` | Label create/skip, dry run, mapping, constant validation | | `test_python_cli.py` | `close_issue.py` + `mark_issue.py` CLI validation | | `test_mirror_refs.py` | Flags, safety defaults, local integration tests | All tests mock network and keychain access — no real API calls are made.